# A tibble: 1 × 2
avg_pop avg_gdp_per_cap
<dbl> <dbl>
1 29601212. 7215.
GVPT399F: Power, Politics, and Data
summarise()summarise()group_by() and summarise()gapminder_continent <- group_by(gapminder, continent)
summarise(
gapminder_continent,
avg_pop = mean(pop),
avg_gdp_per_cap = mean(gdpPercap)
)# A tibble: 5 × 3
continent avg_pop avg_gdp_per_cap
<fct> <dbl> <dbl>
1 Africa 9916003. 2194.
2 Americas 24504795. 7136.
3 Asia 77038722. 7902.
4 Europe 17169765. 14469.
5 Oceania 8874672. 18622.